ArticleFrontiers in neuroscience2023
Brain motion networks predict head motion during rest- and task-fMRI.
Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Altered network homogeneity of the default mode network in patients with tension-type headache.Frontiers in neurology · 2026Article
- Application of Deep Learning for Prediction of Alzheimer's Disease in PET/MR Imaging.Bioengineering (Basel, Switzerland) · 2023Review
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Authors and funding
2 authors.
Funding
Abstract
Introduction: The capacity to stay still during scanning, which is necessary to avoid motion confounds while imaging, varies markedly between people. Methods: Here we investigated the effect of head motion on functional connectivity using connectome-based predictive modeling (CPM) and publicly available brain functional magnetic resonance imaging (fMRI) data from 414 individuals with low frame-to-frame motion (Δ Results and Discussion: Parametric testing, as well as CPM-based permutations for null hypothesis testing, revealed strong linear associations between observed and predicted values of head motion. Motion prediction accuracy was higher for task- than for rest-fMRI, and for absolute head motion (
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Registered trials
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